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We develop new economic policy uncertainty (EPU) indices for Japan from January 1987 onwards building on the approach of Baker, Bloom and Davis (2016). Each index reflects the frequency of newspaper articles that contain certain terms pertaining to the economy, policy matters and uncertainty. Our overall EPU index co-varies positively with implied volatilities for Japanese equities, exchange rates and interest rates and with a survey-based measure of political uncertainty. The EPU index rises around contested national elections and major leadership transitions in Japan, during the Asian Financial Crisis and in reaction to the Lehman Brothers failure, U.S. debt downgrade in 2011, Brexit referendum, and Japan’s recent decision to defer a consumption tax hike. Our uncertainty indices for fiscal, monetary, trade and exchange rate policy co-vary positively but also display distinct dynamics. VAR models imply that upward EPU innovations foreshadow deteriorations in Japan’s macroeconomic performance, as reflected by impulse response functions for investment, employment and output. Our study adds to evidence that credible policy plans and strong policy frameworks can favorably influence macroeconomic performance by, in part, reducing policy uncertainty.
Presenting innovative modelling approaches to the analysis of fiscal policy and government debt, this book moves beyond previous models that have relied upon the assumption that various age-specific rates and policy variables remain unchanged when it comes to generating government expenditures and tax revenues. As a result of population ageing, current policy settings in many countries are projected to lead to unsustainable levels of public debt; Tax Policy and Uncertainty explores models that allow for feedbacks and uncertainty to combat this.
With growing academic and policy interest in research and development (R&D) tax incentives, the question about their effectiveness has become ever more relevant. In the absence of an exogenous policy reform, the simultaneous determination of companies’ tax positions and their R&D spending causes an identification problem in evaluating tax incentives. To overcome this identification challenge, we exploit a U.K. policy reform and use the population of corporation tax records that provide precise information on the amount of firm-level R&D expenditure. Using difference-in-differences and other panel regression approaches, we find a positive and significant impact of tax incentives on R&D spending, and an implied user cost elasticity estimate of around -1.6. This translates to more than a pound in additional private R&D for each pound foregone in corporation tax revenue.
Edited by Parthasarathi Shome, this Handbook was written primarily for economists who are responsible for analyzing and evaluating economic policies of developing countries at an applied level, and who would benefit from a comprehensive discussion of the concepts, principles, and prevailing issues of taxation.
This paper set forth internationally agreed principles and standards for the value added tax (VAT) treatment of the most common types of international transactions, with a particular focus on trade in services and intangibles. Its aim is to minimise inconsistencies in the application of VAT in a cross-border context with a view to reducing uncertainty and risks of double taxation and unintended non-taxation in international trade. It also includes the recommended principles and mechanisms to address the challenges for the collection of VAT on crossborder sales of digital products that had been identified in the context of the OECD/G20 Project on Base and Erosion and Profit Shifting (the BEPS Project).
A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.
Bank Liquidity Creation and Financial Crises delivers a consistent, logical presentation of bank liquidity creation and addresses questions of research and policy interest that can be easily understood by readers with no advanced or specialized industry knowledge. Authors Allen Berger and Christa Bouwman examine ways to measure bank liquidity creation, how much liquidity banks create in different countries, the effects of monetary policy (including interest rate policy, lender of last resort, and quantitative easing), the effects of capital, the effects of regulatory interventions, the effects of bailouts, and much more. They also analyze bank liquidity creation in the US over the past three decades during both normal times and financial crises. Narrowing the gap between the "academic world" (focused on theories) and the "practitioner world" (dedicated to solving real-world problems), this book is a helpful new tool for evaluating a bank's performance over time and comparing it to its peer group. - Explains that bank liquidity creation is a more comprehensive measure of a bank's output than traditional measures and can also be used to measure bank liquidity - Describes how high levels of bank liquidity creation may cause or predict future financial crises - Addresses questions of research and policy interest related to bank liquidity creation around the world and provides links to websites with data and other materials to address these questions - Includes such hot-button topics as the effects of monetary policy (including interest rate policy, lender of last resort, and quantitative easing), the effects of capital, the effects of regulatory interventions, and the effects of bailouts
Optimal tax design attempts to resolve a well-known trade-off: namely, that high taxes are bad insofar as they discourage people from working, but good to the degree that, by redistributing wealth, they help insure people against productivity shocks. Until recently, however, economic research on this question either ignored people's uncertainty about their future productivities or imposed strong and unrealistic functional form restrictions on taxes. In response to these problems, the new dynamic public finance was developed to study the design of optimal taxes given only minimal restrictions on the set of possible tax instruments, and on the nature of shocks affecting people in the economy. In this book, Narayana Kocherlakota surveys and discusses this exciting new approach to public finance. An important book for advanced PhD courses in public finance and macroeconomics, The New Dynamic Public Finance provides a formal connection between the problem of dynamic optimal taxation and dynamic principal-agent contracting theory. This connection means that the properties of solutions to principal-agent problems can be used to determine the properties of optimal tax systems. The book shows that such optimal tax systems necessarily involve asset income taxes, which may depend in sophisticated ways on current and past labor incomes. It also addresses the implications of this new approach for qualitative properties of optimal monetary policy, optimal government debt policy, and optimal bequest taxes. In addition, the book describes computational methods for approximate calculation of optimal taxes, and discusses possible paths for future research.
A comprehensive framework for assessing strategies for managing risk and uncertainty, integrating theory and practice and synthesizing insights from many fields. This book offers a framework for making decisions under risk and uncertainty. Synthesizing research from economics, finance, decision theory, management, and other fields, the book provides a set of tools and a way of thinking that determines the relative merits of different strategies. It takes as its premise that we make better decisions if we use the whole toolkit of economics and related fields to inform our decision making. The text explores the distinction between risk and uncertainty and covers standard models of decision making under risk as well as more recent work on decision making under uncertainty, with a particular focus on strategic interaction. It also examines the implications of incomplete markets for managing under uncertainty. It presents four core strategies: a benchmark strategy (proceeding as if risk and uncertainty were low), a financial hedging strategy (valuable if there is much risk), an operational hedging strategy (valuable for conditions of much uncertainty), and a flexible strategy (valuable if there is much risk and/or uncertainty). The book then examines various aspects of these strategies in greater depth, building on empirical work in several different fields. Topics include price-setting, real options and Monte Carlo techniques, organizational structure, and behavioral biases. Many chapters include exercises and appendixes with additional material. The book can be used in graduate or advanced undergraduate courses in risk management, as a guide for researchers, or as a reference for management practitioners.
How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending. This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.